论文标题
在基于雾计算的关键基础架构系统中维持数据完整性
Maintaining Data Integrity in Fog Computing Based Critical Infrastructure Systems
论文作者
论文摘要
在生活的几乎所有方面，技术利用的发展都产生了智能城市必不可少的大量数据。因此，最大限度地提高云计算，雾计算和物联网等技术的好处对于管理和操纵智能城市的数据很重要。但是，某些类型的数据是敏感和风险的，可能会因恶意攻击而渗透。结果，此类数据可能会损坏，从而引起人们的关注。攻击者对一组数据造成的损害可以通过整个数据库扩散。已读取损坏数据的有效交易可以根据读取的值更新其他数据项。在这项研究中，我们介绍了一个独特的模型，该模型在智能城市中使用雾计算来管理公用事业服务公司和消费者数据。我们还提出了一种新型技术，以评估攻击引起的数据损害。因此，可以恢复原始数据，并且可以将数据库返回到其一致的状态，因为没有发生攻击。
The evolution of the utilization of technologies in nearly all aspects of life has produced an enormous amount of data essential in a smart city. Therefore, maximizing the benefits of technologies such as cloud computing, fog computing, and the Internet of things is important to manage and manipulate data in smart cities. However, certain types of data are sensitive and risky and may be infiltrated by malicious attacks. As a result, such data may be corrupted, thereby causing concern. The damage inflicted by an attacker on a set of data can spread through an entire database. Valid transactions that have read corrupted data can update other data items based on the values read. In this study, we introduce a unique model that uses fog computing in smart cities to manage utility service companies and consumer data. We also propose a novel technique to assess damage to data caused by an attack. Thus, original data can be recovered, and a database can be returned to its consistent state as no attacking has occurred.
